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v0.0.25
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e18a9c63e6
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c20ebf3d63 |
@@ -6,7 +6,7 @@ on:
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- frontend/**
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name: Build and release APK
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name: Build and release debug APK
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jobs:
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build:
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@@ -55,7 +55,7 @@ jobs:
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ls -lah android
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working-directory: ./frontend
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- run: flutter build apk --release --split-per-abi --build-number=${{ gitea.run_number }}
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- run: flutter build apk --debug --split-per-abi --build-number=${{ gitea.run_number }}
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working-directory: ./frontend
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- name: Upload APKs to artifacts
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|
3
.vscode/settings.json
vendored
Normal file
@@ -0,0 +1,3 @@
|
||||
{
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||||
"cmake.ignoreCMakeListsMissing": true
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||||
}
|
@@ -9,9 +9,9 @@ name = "pypi"
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numpy = "*"
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fastapi = "*"
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pydantic = "*"
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geopy = "*"
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||||
shapely = "*"
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||||
scipy = "*"
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osmpythontools = "*"
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pywikibot = "*"
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pymemcache = "*"
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fastapi-cli = "*"
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|
2208
backend/Pipfile.lock
generated
@@ -1,12 +1,37 @@
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# Backend
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This repository contains the backend code for the application. It utilizes FastAPI that allows to quickly create a RESTful API that exposes the endpoints of the route optimizer.
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This repository contains the backend code for the application. It utilizes **FastAPI** to quickly create a RESTful API that exposes the endpoints of the route optimizer.
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## Getting Started
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- The code of the python application is located in the `src` directory.
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- Package management is handled with `pipenv` and the dependencies are listed in the `Pipfile`.
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- Since the application is aimed to be deployed in a container, the `Dockerfile` is provided to build the image.
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### Directory Structure
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- The code for the Python application is located in the `src` directory.
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- Package management is handled with **pipenv**, and the dependencies are listed in the `Pipfile`.
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- Since the application is designed to be deployed in a container, the `Dockerfile` is provided to build the image.
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### Setting Up the Development Environment
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To set up your development environment using **pipenv**, follow these steps:
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1. Install `pipenv` by running:
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```bash
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sudo apt install pipenv
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```
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2. Create and activate a virtual environment:
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```bash
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pipenv shell
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```
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3. Install the dependencies listed in the `Pipfile`:
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```bash
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pipenv install
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```
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4. The virtual environment will be created under:
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```bash
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~/.local/share/virtualenvs/...
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```
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|
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### Deployment
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To deploy the backend docker container, we use kubernetes. Modifications to the backend are automatically pushed to a two-stage environment through the CI pipeline. See [deployment/README](deployment/README.md] for further information.
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|
@@ -16,7 +16,7 @@ OSM_CACHE_DIR = Path(cache_dir_string)
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import logging
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# if we are in a debug session, set verbose and rich logging
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if os.getenv('DEBUG', False):
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if os.getenv('DEBUG', "false") == "true":
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from rich.logging import RichHandler
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logging.basicConfig(
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level=logging.DEBUG,
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|
@@ -1,3 +1,6 @@
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# Tags were picked mostly arbitrarily, based on the OSM wiki and the OSM tags page.
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# See https://taginfo.openstreetmap.org for more inspiration.
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nature:
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leisure: park
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geological: ''
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@@ -11,7 +14,24 @@ nature:
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- alpine_hut
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- viewpoint
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- zoo
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waterway: waterfall
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- resort
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- picnic_site
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water:
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- pond
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- lake
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- river
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- basin
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- stream
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- lagoon
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- rapids
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waterway:
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- waterfall
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- river
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- canal
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- dam
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- dock
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- boatyard
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||||
|
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shopping:
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shop:
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@@ -23,10 +43,47 @@ sightseeing:
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- museum
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- attraction
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- gallery
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- artwork
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||||
- aquarium
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||||
historic: ''
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||||
amenity:
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- planetarium
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- place_of_worship
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- fountain
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- townhall
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water:
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- reflecting_pool
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bridge:
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- aqueduct
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- viaduct
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- boardwalk
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- cantilever
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- abandoned
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building:
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- church
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- chapel
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- mosque
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- synagogue
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- ruins
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- temple
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- government
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- cathedral
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- castle
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||||
- museum
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||||
|
||||
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||||
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# to be used later on
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restauration:
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shop:
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- coffee
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- bakery
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- restaurant
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- pastry
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amenity:
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- restaurant
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- cafe
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- ice_cream
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- food_court
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- biergarten
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|
@@ -21,8 +21,8 @@ if constants.MEMCACHED_HOST_PATH is None:
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else:
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client = Client(
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constants.MEMCACHED_HOST_PATH,
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timeout=1,
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allow_unicode_keys=True,
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encoding='utf-8',
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serde=serde.pickle_serde
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timeout = 1,
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allow_unicode_keys = True,
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encoding = 'utf-8',
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serde = serde.pickle_serde
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)
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|
@@ -5,7 +5,7 @@ from uuid import uuid4
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# Output to frontend
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class Landmark(BaseModel) :
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||||
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# Properties of the landmark
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name : str
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type: Literal['sightseeing', 'nature', 'shopping', 'start', 'finish']
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@@ -22,22 +22,22 @@ class Landmark(BaseModel) :
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# Unique ID of a given landmark
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uuid: str = Field(default_factory=uuid4)
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||||
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# Additional properties depending on specific tour
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must_do : Optional[bool] = False
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must_avoid : Optional[bool] = False
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is_secondary : Optional[bool] = False # TODO future
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||||
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||||
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time_to_reach_next : Optional[int] = 0
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next_uuid : Optional[str] = None
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||||
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||||
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def __str__(self) -> str:
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time_to_next_str = f", time_to_next={self.time_to_reach_next}" if self.time_to_reach_next else ""
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is_secondary_str = f", secondary" if self.is_secondary else ""
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type_str = '(' + self.type + ')'
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if self.type in ["start", "finish", "nature", "shopping"] : type_str += '\t '
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return f'Landmark{type_str}: [{self.name} @{self.location}, score={self.attractiveness}{time_to_next_str}{is_secondary_str}]'
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def distance(self, value: 'Landmark') -> float:
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return (self.location[0] - value.location[0])**2 + (self.location[1] - value.location[1])**2
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|
@@ -22,7 +22,8 @@ class Trip(BaseModel):
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# Store the trip in the cache
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cache_client.set(f"trip_{trip.uuid}", trip)
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cache_client.set_many({f"landmark_{landmark.uuid}": landmark for landmark in landmarks}, expire=3600)
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# make sure to await the result (noreply=False). Otherwise the cache might not be inplace when the trip is actually requested
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cache_client.set_many({f"landmark_{landmark.uuid}": landmark for landmark in landmarks}, expire=3600, noreply=False)
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# is equivalent to:
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# for landmark in landmarks:
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# cache_client.set(f"landmark_{landmark.uuid}", landmark, expire=3600)
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|
@@ -23,7 +23,7 @@ def test(start_coords: tuple[float, float], finish_coords: tuple[float, float] =
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sightseeing=Preference(type='sightseeing', score = 5),
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nature=Preference(type='nature', score = 5),
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shopping=Preference(type='shopping', score = 5),
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max_time_minute=100,
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max_time_minute=15,
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detour_tolerance_minute=0
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)
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@@ -74,6 +74,7 @@ def test(start_coords: tuple[float, float], finish_coords: tuple[float, float] =
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# test(tuple((48.8344400, 2.3220540))) # Café Chez César
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# test(tuple((48.8375946, 2.2949904))) # Point random
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# test(tuple((47.377859, 8.540585))) # Zurich HB
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# test(tuple((45.758217, 4.831814))) # Lyon Bellecour
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test(tuple((48.5848435, 7.7332974))) # Strasbourg Gare
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# test(tuple((45.758217, 4.831814))) # Lyon Bellecour
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# test(tuple((48.5848435, 7.7332974))) # Strasbourg Gare
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# test(tuple((48.2067858, 16.3692340))) # Vienne
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test(tuple((48.084588, 7.280405))) # Turckheim
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||||
|
@@ -1,5 +1,5 @@
|
||||
import yaml
|
||||
from geopy.distance import geodesic
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from math import sin, cos, sqrt, atan2, radians
|
||||
|
||||
import constants
|
||||
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@@ -8,6 +8,7 @@ with constants.OPTIMIZER_PARAMETERS_PATH.open('r') as f:
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DETOUR_FACTOR = parameters['detour_factor']
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AVERAGE_WALKING_SPEED = parameters['average_walking_speed']
|
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EARTH_RADIUS_KM = 6373
|
||||
|
||||
def get_time(p1: tuple[float, float], p2: tuple[float, float]) -> int:
|
||||
"""
|
||||
@@ -22,16 +23,28 @@ def get_time(p1: tuple[float, float], p2: tuple[float, float]) -> int:
|
||||
"""
|
||||
|
||||
|
||||
# Compute the straight-line distance in km
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if p1 == p2 :
|
||||
if p1 == p2:
|
||||
return 0
|
||||
else:
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dist = geodesic(p1, p2).kilometers
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else:
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# Compute the distance in km along the surface of the Earth
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# (assume spherical Earth)
|
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# this is the haversine formula, stolen from stackoverflow
|
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# in order to not use any external libraries
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lat1, lon1 = radians(p1[0]), radians(p1[1])
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lat2, lon2 = radians(p2[0]), radians(p2[1])
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|
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# Consider the detour factor for average cityto deterline walking distance (in km)
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walk_dist = dist*DETOUR_FACTOR
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dlon = lon2 - lon1
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dlat = lat2 - lat1
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a = sin(dlat / 2)**2 + cos(lat1) * cos(lat2) * sin(dlon / 2)**2
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c = 2 * atan2(sqrt(a), sqrt(1 - a))
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distance = EARTH_RADIUS_KM * c
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# Consider the detour factor for average an average city
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walk_distance = distance * DETOUR_FACTOR
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|
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# Time to walk this distance (in minutes)
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walk_time = walk_dist/AVERAGE_WALKING_SPEED*60
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walk_time = walk_distance / AVERAGE_WALKING_SPEED * 60
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|
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return round(walk_time)
|
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|
@@ -10,7 +10,8 @@ from structs.landmark import Landmark
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from .take_most_important import take_most_important
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import constants
|
||||
|
||||
|
||||
# silence the overpass logger
|
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logging.getLogger('OSMPythonTools').setLevel(level=logging.CRITICAL)
|
||||
|
||||
|
||||
class LandmarkManager:
|
||||
@@ -93,6 +94,8 @@ class LandmarkManager:
|
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if preferences.shopping.score != 0:
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score_function = lambda score: score * 10 * preferences.shopping.score / 5
|
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current_landmarks = self.fetch_landmarks(bbox, self.amenity_selectors['shopping'], preferences.shopping.type, score_function)
|
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# set time for all shopping activites :
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for landmark in current_landmarks : landmark.duration = 45
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all_landmarks.update(current_landmarks)
|
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|
||||
|
||||
@@ -206,11 +209,15 @@ class LandmarkManager:
|
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query = overpassQueryBuilder(
|
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bbox = bbox,
|
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elementType = ['way', 'relation'],
|
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# selector can in principle be a list already,
|
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# but it generates the intersection of the queries
|
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# we want the union
|
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selector = sel,
|
||||
# conditions = [],
|
||||
conditions = ['count_tags()>5'],
|
||||
includeCenter = True,
|
||||
out = 'body'
|
||||
)
|
||||
self.logger.debug(f"Query: {query}")
|
||||
|
||||
try:
|
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result = self.overpass.query(query)
|
||||
@@ -241,11 +248,11 @@ class LandmarkManager:
|
||||
image_url = None
|
||||
name_en = None
|
||||
|
||||
# remove specific tags
|
||||
# Adjust scoring
|
||||
skip = False
|
||||
for tag in elem.tags().keys():
|
||||
if "pay" in tag:
|
||||
# payment options are a good sign
|
||||
# payment options are misleading and should not count for the scoring.
|
||||
score += self.pay_bonus
|
||||
|
||||
if "disused" in tag:
|
||||
@@ -258,10 +265,12 @@ class LandmarkManager:
|
||||
score += self.wikipedia_bonus
|
||||
|
||||
if "viewpoint" in tag:
|
||||
# viewpoints must count more
|
||||
score += self.viewpoint_bonus
|
||||
duration = 10
|
||||
|
||||
if "image" in tag:
|
||||
# images must count more
|
||||
score += self.image_bonus
|
||||
|
||||
if elem_type != "nature":
|
||||
@@ -277,6 +286,7 @@ class LandmarkManager:
|
||||
skip = True
|
||||
break
|
||||
|
||||
# Extract image, website and english name
|
||||
if tag in ['website', 'contact:website']:
|
||||
website_url = elem.tag(tag)
|
||||
if tag == 'image':
|
||||
@@ -290,10 +300,9 @@ class LandmarkManager:
|
||||
score = score_function(score)
|
||||
if "place_of_worship" in elem.tags().values():
|
||||
score = score * self.church_coeff
|
||||
duration = 15
|
||||
duration = 10
|
||||
|
||||
elif "museum" in elem.tags().values():
|
||||
score = score * self.church_coeff
|
||||
elif "museum" in elem.tags().values() or "aquarium" in elem.tags().values() or "planetarium" in elem.tags().values():
|
||||
duration = 60
|
||||
|
||||
else:
|
||||
@@ -336,7 +345,7 @@ def dict_to_selector_list(d: dict) -> list:
|
||||
for key, value in d.items():
|
||||
if type(value) == list:
|
||||
val = '|'.join(value)
|
||||
return_list.append(f'{key}~"{val}"')
|
||||
return_list.append(f'{key}~"^({val})$"')
|
||||
elif type(value) == str and len(value) == 0:
|
||||
return_list.append(f'{key}')
|
||||
else:
|
||||
|
@@ -3,7 +3,6 @@ import numpy as np
|
||||
|
||||
from scipy.optimize import linprog
|
||||
from collections import defaultdict, deque
|
||||
from geopy.distance import geodesic
|
||||
|
||||
from structs.landmark import Landmark
|
||||
from .get_time_separation import get_time
|
||||
@@ -488,7 +487,7 @@ class Optimizer:
|
||||
|
||||
# Raise error if no solution is found
|
||||
if not res.success :
|
||||
raise ArithmeticError("No solution could be found, the problem is overconstrained. Please adapt your must_dos")
|
||||
raise ArithmeticError("No solution could be found, the problem is overconstrained. Try with a longer trip (>30 minutes).")
|
||||
|
||||
# If there is a solution, we're good to go, just check for connectiveness
|
||||
order, circles = self.is_connected(res.x)
|
||||
|
@@ -2,6 +2,7 @@ import yaml, logging
|
||||
|
||||
from shapely import buffer, LineString, Point, Polygon, MultiPoint, concave_hull
|
||||
from math import pi
|
||||
from typing import List
|
||||
|
||||
from structs.landmark import Landmark
|
||||
from . import take_most_important, get_time_separation
|
||||
@@ -133,6 +134,21 @@ class Refiner :
|
||||
i += 1
|
||||
|
||||
return tour
|
||||
|
||||
def integrate_landmarks(self, sub_list: List[Landmark], main_list: List[Landmark]) :
|
||||
"""
|
||||
Inserts 'sub_list' of Landmarks inside the 'main_list' by leaving the ends untouched.
|
||||
|
||||
Args:
|
||||
sub_list : the list of Landmarks to be inserted inside of the 'main_list'.
|
||||
main_list : the original list with start and finish.
|
||||
|
||||
Returns:
|
||||
the full list.
|
||||
"""
|
||||
sub_list.append(main_list[-1]) # add finish back
|
||||
return main_list[:-1] + sub_list # create full set of possible landmarks
|
||||
|
||||
|
||||
|
||||
def find_shortest_path_through_all_landmarks(self, landmarks: list[Landmark]) -> tuple[list[Landmark], Polygon]:
|
||||
@@ -253,6 +269,11 @@ class Refiner :
|
||||
except :
|
||||
better_tour_poly = concave_hull(MultiPoint(coords)) # Create concave hull with "core" of tour leaving out start and finish
|
||||
xs, ys = better_tour_poly.exterior.xy
|
||||
"""
|
||||
ERROR HERE :
|
||||
Exception has occurred: AttributeError
|
||||
'LineString' object has no attribute 'exterior'
|
||||
"""
|
||||
|
||||
|
||||
# reverse the xs and ys
|
||||
@@ -315,26 +336,30 @@ class Refiner :
|
||||
|
||||
self.logger.info(f"Using {len(minor_landmarks)} minor landmarks around the predicted path")
|
||||
|
||||
# full set of visitable landmarks
|
||||
full_set = base_tour[:-1] + minor_landmarks # create full set of possible landmarks (without finish)
|
||||
full_set.append(base_tour[-1]) # add finish back
|
||||
# Full set of visitable landmarks.
|
||||
full_set = self.integrate_landmarks(minor_landmarks, base_tour) # could probably be optimized with less overhead
|
||||
|
||||
# get a new tour
|
||||
# Generate a new tour with the optimizer.
|
||||
new_tour = self.optimizer.solve_optimization(
|
||||
max_time = max_time + detour,
|
||||
landmarks = full_set,
|
||||
max_landmarks = self.max_landmarks_refiner
|
||||
)
|
||||
|
||||
# If unsuccessful optimization, use the base_tour.
|
||||
if new_tour is None:
|
||||
self.logger.warning("No solution found for the refined tour. Returning the initial tour.")
|
||||
new_tour = base_tour
|
||||
|
||||
# If only one landmark, return it.
|
||||
if len(new_tour) < 4 :
|
||||
return new_tour
|
||||
|
||||
# Find shortest path using the nearest neighbor heuristic
|
||||
# Find shortest path using the nearest neighbor heuristic.
|
||||
better_tour, better_poly = self.find_shortest_path_through_all_landmarks(new_tour)
|
||||
|
||||
# Fix the tour using Polygons if the path looks weird
|
||||
# Fix the tour using Polygons if the path looks weird.
|
||||
# Conditions : circular trip and invalid polygon.
|
||||
if base_tour[0].location == base_tour[-1].location and not better_poly.is_valid :
|
||||
better_tour = self.fix_using_polygon(better_tour)
|
||||
|
||||
|
@@ -37,12 +37,12 @@ jobs:
|
||||
REF_NAME: ${{ github.ref_name }}
|
||||
run:
|
||||
# remove the 'v' prefix from the tag name
|
||||
echo "VERSION_NAME=${REF_NAME//v}" >> $GITHUB_ENV
|
||||
echo "BUILD_NAME=${REF_NAME//v}" >> $GITHUB_ENV
|
||||
|
||||
- name: Load secrets from github
|
||||
run: |
|
||||
echo "${{ secrets.ANDROID_SECRET_PROPERTIES_BASE64 }}" | base64 -d > secrets.properties
|
||||
echo "${{ secrets.ANDROID_GOOGLE_PLAY_JSON_BASE64 }}" | base64 -d > fastlane/google-key.json
|
||||
echo "${{ secrets.ANDROID_GOOGLE_PLAY_JSON_BASE64 }}" | base64 -d > google-key.json
|
||||
echo "${{ secrets.ANDROID_KEYSTORE_BASE64 }}" | base64 -d > release.keystore
|
||||
working-directory: android
|
||||
|
||||
@@ -53,4 +53,6 @@ jobs:
|
||||
- name: Run fastlane lane
|
||||
run: bundle exec fastlane deploy_testing
|
||||
working-directory: android
|
||||
# the environment variable VERSION_NAME is implicitly available
|
||||
env:
|
||||
BUILD_NUMBER: ${{ github.run_number }}
|
||||
# BUILD_NAME is implicitly available
|
||||
|
@@ -30,14 +30,19 @@ if (flutterVersionName == null) {
|
||||
|
||||
|
||||
def secretPropertiesFile = rootProject.file('secrets.properties')
|
||||
def fallbackPropertiesFile = rootProject.file('fallback.properties')
|
||||
def secretProperties = new Properties()
|
||||
|
||||
if (secretPropertiesFile.exists()) {
|
||||
secretPropertiesFile.withReader('UTF-8') { reader ->
|
||||
secretProperties.load(reader)
|
||||
}
|
||||
} else if (fallbackPropertiesFile.exists()) {
|
||||
fallbackPropertiesFile.withReader('UTF-8') { reader ->
|
||||
secretProperties.load(reader)
|
||||
}
|
||||
} else {
|
||||
throw new GradleException("Secrets file secrets.properties not found")
|
||||
throw new GradleException("Secrets file (secrets.properties, fallback.properties) not found")
|
||||
}
|
||||
|
||||
|
||||
|
@@ -1 +1,3 @@
|
||||
# This file mirrors the state of secrets.properties as a reference for the developer.
|
||||
# And as a fallback for build.gradle
|
||||
MAPS_API_KEY=Key
|
@@ -5,22 +5,28 @@ default_platform(:android)
|
||||
|
||||
platform :android do
|
||||
|
||||
desc "Deploy a new version as a preview version"
|
||||
desc "Deploy a new version to closed testing"
|
||||
lane :deploy_testing do
|
||||
version_name = ENV["VERSION_NAME"]
|
||||
build_name = ENV["BUILD_NAME"]
|
||||
build_number = ENV["BUILD_NUMBER"]
|
||||
|
||||
sh(
|
||||
"flutter",
|
||||
"build",
|
||||
"appbundle",
|
||||
"--release",
|
||||
"--build-name=#{version_name}",
|
||||
"--build-name=#{build_name}",
|
||||
"--build-number=#{build_number}",
|
||||
)
|
||||
|
||||
upload_to_play_store(
|
||||
track: 'alpha',
|
||||
skip_upload_apk: true,
|
||||
skip_upload_changelogs: true,
|
||||
aab: "../build/app/outputs/bundle/release/app-release.aab",
|
||||
# this is the default output of flutter build ... --release
|
||||
# in particular this the build folder lies in the flutter root folder
|
||||
# this is the parent folder for the android folder
|
||||
)
|
||||
end
|
||||
|
||||
@@ -28,6 +34,7 @@ platform :android do
|
||||
lane :deploy_release do
|
||||
gradle(
|
||||
task: "clean assembleRelease",
|
||||
# todo update to a flutter call
|
||||
properties: {
|
||||
# loaded from environment
|
||||
"android.injected.version.name" => ENV["VERSION_NAME"],
|
||||
@@ -37,6 +44,10 @@ platform :android do
|
||||
track: "production",
|
||||
skip_upload_apk: true,
|
||||
skip_upload_changelogs: true,
|
||||
aab: "../build/app/outputs/bundle/release/app-release.aab",
|
||||
# this is the default output of flutter build ... --release
|
||||
# in particular this the build folder lies in the flutter root folder
|
||||
# this is the parent folder for the android folder
|
||||
)
|
||||
end
|
||||
end
|
||||
|
Before Width: | Height: | Size: 106 KiB |
Before Width: | Height: | Size: 1.3 MiB |
Before Width: | Height: | Size: 637 KiB |
Before Width: | Height: | Size: 573 KiB |
Before Width: | Height: | Size: 175 KiB |
Before Width: | Height: | Size: 360 KiB |
Before Width: | Height: | Size: 106 KiB |
Before Width: | Height: | Size: 1.3 MiB |
Before Width: | Height: | Size: 637 KiB |
Before Width: | Height: | Size: 573 KiB |
Before Width: | Height: | Size: 175 KiB |
Before Width: | Height: | Size: 360 KiB |